A geographic directed preferential internet topology model

Sagy Bar, Mira Gonen, Avishai Wool

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


The goal of this work is to model the peering arrangements between Autonomous Systems (ASes). Most existing models of the AS-graph assume an undirected graph. However, peering arrangements are mostly asymmetric Customer-Provider arrangements, which are better modeled as directed edges. Furthermore, it is well known that the AS-graph, and in particular its clustering structure, is influenced by geography. We introduce a new model that describes the AS-graph as a directed graph, with an edge going from the customer to the provider, but also models symmetric peer-to-peer arrangements. In addition, our model takes geography into account. We are able to mathematically analyze its powerlaw exponent and number of leaves. Beyond the analysis, we have implemented our model as a synthetic network generator called GDNG. Experimentation with GDNG shows that the networks it produces are more realistic than those generated by other network generators, in terms of its power-law exponent, fractions of customer-provider and symmetric peering arrangements, and the size of its dense core. We believe that our model is the first to manifest realistic regional dense cores that have a clear geographic flavor. Our synthetic networks also exhibit path inflation effects that are similar to those observed in the real AS graph.

Original languageEnglish
Article number1521149
Pages (from-to)325-328
Number of pages4
JournalProceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
StatePublished - 2005
Externally publishedYes
EventMASCOTS 2005: 13th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems - Atlanta, GA, United States
Duration: 27 Sep 200529 Sep 2005


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